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Titolo:
IMAGE COMPRESSION USING VQ-BTC
Autore:
MOHAMED SA; FAHMY MM;
Indirizzi:
QUEENS UNIV,DEPT ELECT ENGN KINGSTON ON K7L 3N6 CANADA KING FAHD UNIV PETR & MINERALS,DEPT ELECT ENGN DHAHRAN 31261 SAUDI ARABIA
Titolo Testata:
IEEE transactions on communications
fascicolo: 7, volume: 43, anno: 1995,
pagine: 2177 - 2182
SICI:
0090-6778(1995)43:7<2177:ICUV>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
VECTOR;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
8
Recensione:
Indirizzi per estratti:
Citazione:
S.A. Mohamed e M.M. Fahmy, "IMAGE COMPRESSION USING VQ-BTC", IEEE transactions on communications, 43(7), 1995, pp. 2177-2182

Abstract

Vector quantization (VQ) and block truncation coding (BTC) are successful image compression techniques, However, 31 a reproduced image using VQ or BTC suffers from edge degradation. In this paper, a new technique that combines the advantages of both VQ and BTC to combat this degradation is presented and will be referred to as VQ-BTC. In VQ-BTC, a low-detail block is encoded using VQ. For a high-detail block, a modification of BTC is used to determine the locations of the relatively lighter and relatively darker pixels inside the block and VQ is then used to encode each, VQ-BTC provides improved edge reproduction and much lower bit rates than those obtained by BTC.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/09/20 alle ore 08:23:59